djkust

4 ms·

1. 1.▲
   by djkust 7y ago

   Also includes a big, new, labeled(!), public dataset of high-resolution satellite imagery, covering a variety of natural disasters around the globe. Freely available for download. + this article from NASA shares some additional context: ht
2. 2.▲
   How computer vision is helping California's wildfire recovery efforts(xview2.org)

   20 points by djkust 7y ago|1 comments
3. 3.▲
   by djkust 10y ago

   Reinforcement learning is definitely on the docket! But we probably need to cover more fundamental topics like optimizers, loss functions, distributed representations, attention, and maybe memory states first. RL seems to have all the thing
4. 4.▲
   by djkust 10y ago

   Yup, the filters are learned. Here are two great resources for convolutional neural networks: https://www.youtube.com/watch?v=bEUX_56Lojc http://cs231n.github.io/convolutional-networks/
5. 5.▲
   by djkust 10y ago

   Hi folks, authors here in case you have questions. This is actually part 3 in a series. For developers who are still getting oriented around machine learning, you might enjoy the first two articles, too. Part 1 shows how the machine learnin